
doi: 10.1093/rpd/nch069
pmid: 15550717
In this paper a modern statistical technique of multivariate analysis is applied to an indoor radon concentration data base. Several parameters are more or less significant in determining the radon concentration inside a building. The elaboration of the information available on South Tyrol makes it possible both to identify the statistically significant variables and to build up a statistical model that allows us to forecast the radon concentration in dwellings, when the values of the same variables involved are given. The results confirm the complexity of the phenomenon.
Models, Statistical, Radiation Dosage, Risk Assessment, Italy, Air Pollutants, Radioactive, Radiation Monitoring, Radon, Risk Factors, Air Pollution, Indoor, Multivariate Analysis, Geographic Information Systems, Computer Simulation, Topography, Medical, Radiometry, Algorithms, Forecasting
Models, Statistical, Radiation Dosage, Risk Assessment, Italy, Air Pollutants, Radioactive, Radiation Monitoring, Radon, Risk Factors, Air Pollution, Indoor, Multivariate Analysis, Geographic Information Systems, Computer Simulation, Topography, Medical, Radiometry, Algorithms, Forecasting
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